Cuihua Huang, Yan Luo, Jianqing Huang, Xiuping Qiu, Mei Tu
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Multivariate logistic regression combined with stratified regression modeling assessed UHR's independent link with CAS, while receiver operating characteristic (ROC) analysis evaluated its predictive value.</p><p><strong>Results: </strong>CAS patients showed elevated UHR and cardiovascular risk markers (age, body mass index [BMI], homeostatic model assessment of insulin resistance [HOMA-IR], systolic blood pressure, low-density lipoprotein cholesterol [LDL-c], triglycerides, smoking) compared to controls (<i>P</i> < 0.05). UHR tertiles demonstrated dose-response associations with carotid intima-media thickness (cIMT) ≥1.0 mm, plaque formation, and CAS (<i>P</i> < 0.05). UHR exhibited positively with BMI, HOMA-IR, systolic blood pressure, triglycerides, uric acid (UA), and cIMT (<i>P</i> < 0.05), but inversely with total cholesterol, high-density lipoprotein cholesterol (HDL-c), and LDL-c (<i>P</i> < 0.05). UHR independently predicted carotid plaques (OR: 1.086, 95% CI: 1.033-1.142, <i>P</i> = 0.001) and CAS (OR: 1.097, 95% CI: 1.035-1.162, <i>P</i> = 0.002). Stronger associations occurred in BMI ≥25 kg/m² (OR: 1.210, 95% CI: 1.089-1.345, <i>P</i> < 0.001) and hypertension subgroups (OR: 1.136, 95% CI: 1.033-1.248, <i>P</i> = 0.008). ROC analysis demonstrated UHR's superior CAS prediction (AUC = 0.656, 95% CI: 0.611-0.701, <i>P</i> <0.01) over triglyceride-to-HDL-c ratio, triglyceride-glucose index, HDL-c, and UA (<i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>UHR is an independent CAS risk factor in type 2 diabetes, outperforming traditional biomarkers for cardiovascular risk assessment.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"2873-2883"},"PeriodicalIF":3.0000,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12361868/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Cross-Sectional Study of the Association Between Uric Acid-to-High-Density Lipoprotein Cholesterol Ratio and Carotid Atherosclerosis in Patients with Type 2 Diabetes Mellitus.\",\"authors\":\"Cuihua Huang, Yan Luo, Jianqing Huang, Xiuping Qiu, Mei Tu\",\"doi\":\"10.2147/DMSO.S527130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Carotid atherosclerosis (CAS) is a key diabetic complication needing predictive biomarkers. The serum uric acid-to-high-density lipoprotein cholesterol ratio (UHR), linked to metabolic dysfunction, may serve this role. Therefore, this cross-sectional study examines UHR-CAS association in type 2 diabetes.</p><p><strong>Methods: </strong>This study included 615 type 2 diabetes patients, collecting demographic, biochemical, and carotid ultrasound data. Spearman correlation analyzed UHR's relationship with cardiovascular risk factors. Multivariate logistic regression combined with stratified regression modeling assessed UHR's independent link with CAS, while receiver operating characteristic (ROC) analysis evaluated its predictive value.</p><p><strong>Results: </strong>CAS patients showed elevated UHR and cardiovascular risk markers (age, body mass index [BMI], homeostatic model assessment of insulin resistance [HOMA-IR], systolic blood pressure, low-density lipoprotein cholesterol [LDL-c], triglycerides, smoking) compared to controls (<i>P</i> < 0.05). UHR tertiles demonstrated dose-response associations with carotid intima-media thickness (cIMT) ≥1.0 mm, plaque formation, and CAS (<i>P</i> < 0.05). UHR exhibited positively with BMI, HOMA-IR, systolic blood pressure, triglycerides, uric acid (UA), and cIMT (<i>P</i> < 0.05), but inversely with total cholesterol, high-density lipoprotein cholesterol (HDL-c), and LDL-c (<i>P</i> < 0.05). UHR independently predicted carotid plaques (OR: 1.086, 95% CI: 1.033-1.142, <i>P</i> = 0.001) and CAS (OR: 1.097, 95% CI: 1.035-1.162, <i>P</i> = 0.002). Stronger associations occurred in BMI ≥25 kg/m² (OR: 1.210, 95% CI: 1.089-1.345, <i>P</i> < 0.001) and hypertension subgroups (OR: 1.136, 95% CI: 1.033-1.248, <i>P</i> = 0.008). 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引用次数: 0
摘要
背景：颈动脉粥样硬化（CAS）是糖尿病的主要并发症，需要预测性生物标志物。血清尿酸与高密度脂蛋白胆固醇比率（UHR）与代谢功能障碍有关，可能起着这种作用。因此，本横断面研究探讨了UHR-CAS与2型糖尿病的关系。方法：本研究纳入615例2型糖尿病患者，收集人口学、生化和颈动脉超声资料。Spearman相关性分析UHR与心血管危险因素的关系。多元逻辑回归结合分层回归模型评估UHR与CAS的独立联系，受试者工作特征（ROC）分析评估其预测价值。结果：与对照组相比，CAS患者UHR和心血管危险指标（年龄、体重指数[BMI]、胰岛素抵抗稳态模型评估[HOMA-IR]、收缩压、低密度脂蛋白胆固醇[LDL-c]、甘油三酯、吸烟）均升高（P < 0.05）。UHR颗粒与颈动脉内膜-中膜厚度(cIMT)≥1.0 mm、斑块形成和CAS呈剂量-反应相关（P < 0.05）。UHR与BMI、HOMA-IR、收缩压、甘油三酯、尿酸（UA）、cIMT呈正相关（P < 0.05），与总胆固醇、高密度脂蛋白胆固醇（HDL-c）、LDL-c呈负相关（P < 0.05）。UHR独立预测颈动脉斑块（OR: 1.086, 95% CI: 1.033-1.142, P = 0.001）和CAS （OR: 1.097, 95% CI: 1.035-1.162, P = 0.002）。BMI≥25 kg/m²（OR: 1.210, 95% CI: 1.089-1.345, P < 0.001）和高血压亚组（OR: 1.136, 95% CI: 1.033-1.248, P = 0.008）的相关性更强。ROC分析显示UHR具有较好的CAS预测效果（AUC = 0.656, 95% CI: 0.611-0.701, P < 0.05）。结论：UHR是2型糖尿病独立的CAS危险因素，优于传统的心血管风险评估生物标志物。
A Cross-Sectional Study of the Association Between Uric Acid-to-High-Density Lipoprotein Cholesterol Ratio and Carotid Atherosclerosis in Patients with Type 2 Diabetes Mellitus.
Background: Carotid atherosclerosis (CAS) is a key diabetic complication needing predictive biomarkers. The serum uric acid-to-high-density lipoprotein cholesterol ratio (UHR), linked to metabolic dysfunction, may serve this role. Therefore, this cross-sectional study examines UHR-CAS association in type 2 diabetes.
Methods: This study included 615 type 2 diabetes patients, collecting demographic, biochemical, and carotid ultrasound data. Spearman correlation analyzed UHR's relationship with cardiovascular risk factors. Multivariate logistic regression combined with stratified regression modeling assessed UHR's independent link with CAS, while receiver operating characteristic (ROC) analysis evaluated its predictive value.
Results: CAS patients showed elevated UHR and cardiovascular risk markers (age, body mass index [BMI], homeostatic model assessment of insulin resistance [HOMA-IR], systolic blood pressure, low-density lipoprotein cholesterol [LDL-c], triglycerides, smoking) compared to controls (P < 0.05). UHR tertiles demonstrated dose-response associations with carotid intima-media thickness (cIMT) ≥1.0 mm, plaque formation, and CAS (P < 0.05). UHR exhibited positively with BMI, HOMA-IR, systolic blood pressure, triglycerides, uric acid (UA), and cIMT (P < 0.05), but inversely with total cholesterol, high-density lipoprotein cholesterol (HDL-c), and LDL-c (P < 0.05). UHR independently predicted carotid plaques (OR: 1.086, 95% CI: 1.033-1.142, P = 0.001) and CAS (OR: 1.097, 95% CI: 1.035-1.162, P = 0.002). Stronger associations occurred in BMI ≥25 kg/m² (OR: 1.210, 95% CI: 1.089-1.345, P < 0.001) and hypertension subgroups (OR: 1.136, 95% CI: 1.033-1.248, P = 0.008). ROC analysis demonstrated UHR's superior CAS prediction (AUC = 0.656, 95% CI: 0.611-0.701, P <0.01) over triglyceride-to-HDL-c ratio, triglyceride-glucose index, HDL-c, and UA (P < 0.05).
Conclusion: UHR is an independent CAS risk factor in type 2 diabetes, outperforming traditional biomarkers for cardiovascular risk assessment.
期刊介绍：
An international, peer-reviewed, open access, online journal. The journal is committed to the rapid publication of the latest laboratory and clinical findings in the fields of diabetes, metabolic syndrome and obesity research. Original research, review, case reports, hypothesis formation, expert opinion and commentaries are all considered for publication.
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